In this role, you will manage and optimize enterprise-scale data and ML workloads on Azure within a Managed Services setting. You’ll ensure stability, performance, and reliability through proactive monitoring, investigation, and automation. You will support data warehouse operations, optimize SQL queries, and enable smooth data and model deployments. This position offers exposure to data engineering, MLOps, and cloud automation, with a strong focus on cross-functional collaboration.
Responsibilities
Azure Platform Support & Monitoring for ADF pipelines, Databricks jobs/notebooks/clusters, ML models/endpoints, and Power BI dashboards
Monitor, troubleshoot, and root-cause failures across pipelines, jobs, and ML workflows using Azure Monitor and Log Analytics
DevOps & Automation: maintain CI/CD pipelines (Azure DevOps, GitHub Actions) for ADF, Databricks, and ML deployments; develop automation scripts (Python, PowerShell, Bash)
SQL & Data Warehouse Operations: write/optimize SQL for data validation, RCA, and report troubleshooting; manage data warehouses (Azure Synapse Analytics, SQL Server/Azure SQL DB; optional Snowflake/BigQuery in hybrid environments)
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